
Lead Data Engineer with AI experience
Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Data Engineer with AI experience based in India.
This role sits at the core of modern AI and data transformation initiatives, building the foundational infrastructure that powers next-generation intelligent systems. You will design and operate scalable data pipelines, retrieval systems, and ML/LLMOps frameworks that enable advanced AI applications, including conversational agents, RAG systems, and predictive models. The work spans both classical data engineering and cutting-edge AI infrastructure, requiring strong architectural thinking and hands-on execution.
You will collaborate with cross-functional engineering and AI teams to translate reference architectures into production-grade systems that are reliable, scalable, and efficient.
Your contributions will directly influence the performance, accuracy, and scalability of AI-driven products used in real-world enterprise environments.
The role offers exposure to agentic systems, semantic data layers, and advanced retrieval architectures at scale.
It is a highly technical and impact-driven position where engineering excellence and AI innovation intersect.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Lead Data Engineer with AI experience based in India.
This role sits at the core of modern AI and data transformation initiatives, building the foundational infrastructure that powers next-generation intelligent systems. You will design and operate scalable data pipelines, retrieval systems, and ML/LLMOps frameworks that enable advanced AI applications, including conversational agents, RAG systems, and predictive models. The work spans both classical data engineering and cutting-edge AI infrastructure, requiring strong architectural thinking and hands-on execution.
You will collaborate with cross-functional engineering and AI teams to translate reference architectures into production-grade systems that are reliable, scalable, and efficient.
Your contributions will directly influence the performance, accuracy, and scalability of AI-driven products used in real-world enterprise environments.
The role offers exposure to agentic systems, semantic data layers, and advanced retrieval architectures at scale.
It is a highly technical and impact-driven position where engineering excellence and AI innovation intersect.